1.microsoft / ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
+185 stars
from 91,747 · score 5.23
Trending repositories
Ranked by Attention Score: stars gained over the last 7 complete days
28 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
2.jakevdp / PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
+102 stars
from 50,208 · score 4.63
3.Avik-Jain / 100-Days-Of-ML-Code
100 Days of ML Coding
+60 stars
from 51,961 · score 4.11
4.microsoft / onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
+38 stars
from 22,172 · score 3.66
5.skfolio / skfolio
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
+31 stars
from 2,547 · score 3.47
6.onnx / onnx
Open standard for machine learning interoperability
+17 stars
from 21,617 · score 2.89
7.autogluon / autogluon
Fast and Accurate ML in 3 Lines of Code
+12 stars
from 10,795 · score 2.56
8.sktime / sktime
A unified framework for machine learning with time series
+10 stars
from 10,075 · score 2.40
9.dask / dask
Parallel computing with task scheduling
+6 stars
from 13,938 · score 1.95
10.alteryx / featuretools
An open source python library for automated feature engineering
+6 stars
from 7,688 · score 1.95
11.interpretml / interpret
Fit interpretable models. Explain blackbox machine learning.
+6 stars
from 6,969 · score 1.95
12.lukasmasuch / best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
+5 stars
from 23,846 · score 1.79
13.Yorko / mlcourse.ai
Open Machine Learning Course
+5 stars
from 10,768 · score 1.79
14.apachecn / ailearning
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
+4 stars
from 42,611 · score 1.61
15.feature-engine / feature_engine
Feature engineering and selection open-source Python library compatible with sklearn.
+4 stars
from 2,292 · score 1.61
16.skforecast / skforecast
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
+4 stars
from 1,540 · score 1.61
17.TeamHG-Memex / eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
+3 stars
from 2,854 · score 1.39
18.donnemartin / data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
+2 stars
from 29,384 · score 1.10
19.virgili0 / Virgilio
Your new Mentor for Data Science E-Learning.
+2 stars
from 15,004 · score 1.10
20.trevorstephens / gplearn
Genetic Programming in Python, with a scikit-learn inspired API
+2 stars
from 1,894 · score 1.10
21.EpistasisLab / tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
+1 stars
from 10,054 · score 0.69
22.automl / auto-sklearn
Automated Machine Learning with scikit-learn
+1 stars
from 8,148 · score 0.69
23.skorch-dev / skorch
A scikit-learn compatible neural network library that wraps PyTorch
+1 stars
from 6,184 · score 0.69
24.DistrictDataLabs / yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
+1 stars
from 4,407 · score 0.69
25.unslothai / hyperlearn
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
+1 stars
from 2,528 · score 0.69
26.modAL-python / modAL
A modular active learning framework for Python
+1 stars
from 2,375 · score 0.69
27.AutoViML / AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
+1 stars
from 1,903 · score 0.69
28.rodrigo-arenas / Sklearn-genetic-opt
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
+1 stars
from 390 · score 0.69